Software development

Software development

OpenTelemetry is becoming a common standard for collecting logs, metrics, traces, and other telemetry from applications and infrastructure, yet its flexibility and rising ecosystem have also led to confusion about how it works and when to use specific components. The new guide seeks to address frequently asked questions around the project's purpose, its relationship to monitoring and observability platforms, and how it integrates with cloud providers and APM tools.

There are few things in software engineering that induce panic quite like a massive git merge conflict. You pull down the latest code, open your editor, and suddenly your screen is bleeding with <<<<<<< HEAD markers. Your logic is tangled with someone else's, the CSS is conflicting, and you realise you just wasted hours building on top of outdated architecture.

LBYL came more naturally to me in my early years of programming. It seemed to have fewer obstacles in those early stages, fewer tricky concepts. And in my 10+ years of teaching Python, I also preferred teaching LBYL to beginners and delaying EAFP until later. But over the years, as I came to understand Python's psyche better, I gradually shifted my programming style-and then, my teaching style, too.

For years, reliability discussions have focused on uptime and whether a service met its internal SLO. However, as systems become more distributed, reliant on complex internet stacks, and integrated with AI, this binary perspective is no longer sufficient. Reliability now encompasses digital experience, speed, and business impact. For the second year in a row, The SRE Report highlights this shift.

The clock is ticking for companies using SAP ECC. The transition to S/4HANA must be completed by 2027. However, the reality is proving difficult. Figures from early February from research firm ISG show that nearly 60 percent of SAP migrations are delayed and exceed their budget. Underestimated complexity, scope expansion, and internal capacity constraints are identified as the main causes.

AI is helping teams build software and tools faster than ever-but that doesn't mean we're building smarter. I've seen entire prototypes spin up in a day, thanks to AI coding assistants. But when you ask how they were built, or whether they're secure, you get a lot of blank stares. That's the gap emerging now, between what's possible with AI, and what's actually ready to scale.

AI has made it trivially easy to produce content, and the result is a flood of generic, shallow material that exists to fill space rather than help anyone. People have started calling this "AI slop," and the term captures something real. Recycled tutorials, SEO-bait blog posts, content that says nothing you couldn't get by asking a chatbot directly. There's a lot of it, and it's getting worse.

Just a couple of words about today's topic. Of course, nothing surprising here, AI is changing DevOps and is changing the way teams are moving beyond reactive monitoring towards predictive automated delivery and operations. What does that mean? How can teams actually implement predictive incident detection, intelligent rollout, and AI-driven remediation? Also, how can we accelerate delivery? Those are all topics that today's panelists hopefully are going to cover.

Because of this massive shift, the pressure on business owners has never been higher. Consumers today have zero patience. If your mobile application is slow, or if your website lacks the features they want, they will instantly move to a competitor. To survive and grow, a modern business must be able to create and update its digital tools incredibly fast. However, rushing to build technology introduces a terrible risk: you might accidentally leave your digital doors wide open to criminals.

In 2021, Facebook became Meta and the company claimed its focus would be to " life." It launched Horizon Worlds, a VR metaverse that people could explore and create worlds in. It looked bad and wasn't great, but it was supposedly the future. Five years later, Meta's metaverse is ditching VR and spinning Worlds into a Roblox clone after burning $70+ billion on virtual and augmented reality.

This script ( mcp-server.js) acts as a local proxy. The agent communicates with it via stdio (standard), and the script makes HTTP requests to your Vercel backend, managing the question delivery and the polling (active waiting) for the response. Agent (Local) → calls ask_telegram_confirmation Local Proxy (mcp-server.js) → calls POST /api/confirm on Vercel Vercel → sends a message to the Telegram Bot

GitHub is readying a new feature to automate some of the most expensive work in DevOps: the invisible housekeeping no one wants to own. Developers would rather be building features than debugging flaky continuous integration (CI) pipelines, triaging low-quality issues, updating outdated documentation, or closing persistent gaps in test coverage. In order to help developers and enterprises manage the operational drag of maintaining repositories, GitHub is previewing Agentic Workflows, a new feature that uses AI to automate most routine tasks associated with repository hygiene.

We're excited to announce that Typelevel has been chosen as a recipient of the 2024 Spotify FOSS Fund! As a result, Spotify has donated €20,000 to Typelevel's OpenCollective. Our current funding goes towards recurring infrastructure expenses, and sending members of our code of conduct committee for training to better support our community. With these extra funds we'd like to expand our initiatives to encourage and support new contributors and users!

What lies between these extremes of too easy and too hard is the sweet spot occupied by a distro called Nutyx. Nutyx is a Linux-from-scratch distribution (it's not based on any other distro) that -- according to the Nutyx website -- is "an excellent operating system for people who want to commit themselves to developing their skills further and learning how a Linux system is put together."

Selecting a UK software development partner is a strategic decision that influences product quality, operational efficiency, compliance, and long-term scalability. The UK market offers many providers, from boutique consultancies to enterprise agencies, so the key challenge is finding one that matches your business goals and technical needs. Many organisations focus mainly on cost or reputation, but lasting success requires deeper evaluation of delivery discipline, communication, security practices, and post-launch support.

The final phase of this transition is about to be completed. Once it takes effect, any remaining obsolete policies will block all users of the repository from checking in changes. These policies will also no longer be visible or manageable through Visual Studio Team Explorer. If you are still using obsolete policies at that point, you will need to run a C# code snippet to remove them and restore compliance.

At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we're looking for exceptional people to join our team and help drive impactful change across industries. Why Join AspenView? At AspenView, we're more than a nearshore IT partner-we're a people-first, purpose-driven company that believes great culture drives great outcomes.

The Challenges UK SMEs Face in Cross-Border Trade Handling cross-border trade manually is time-consuming and highly prone to error. Entering data by hand, juggling spreadsheets, and sending information via email may have worked in the past, but modern trade volumes and regulatory demands quickly expose the limitations of these import management systems. Post-Brexit customs requirements, frequent rule changes, and increasing scrutiny from authorities amplify the complexity.

When Anthropic introduced Claude Skills, they demonstrated how specialized instruction sets could transform AI assistants into domain experts. But not every developer can use Claude at work. Many companies have IT restrictions or security policies that prevent the use of a large LLM like Anthropic's. Or they may just want to avoid context-switching between a million different AI tools. Count me as one of those devs.

We began GitHub Agentic Workflows as an investigation into a simple question: what does repository automation with strong guardrails look like in the era of AI coding agents? A natural place to start was GitHub Actions, the heart of scalable repository automation on GitHub. GitHub Agentic Workflows leverage LLMs' natural language understanding to let developers define automation goals in simple Markdown files describing the desired outcome.

"A central issue here is the fact that, as systems scale, telemetry scales even faster," explained Azulay. "Every service creates metrics. Every request generates traces.... and logs multiply as the velocity of deployment increases. This is the structural reality of distributed systems." He points to research from Omdia that suggests organisations consistently "under-instrument" their environments, not because they lack the tools to do so, but because they can't afford to fully use them.

According to Rémi Verschelde, project manager of Godot Engine and co-founder of the platform's financial backer W4 Games, the never-ending wave of "AI slop" pull requests on Godot's GitHub is becoming "increasingly draining and demoralizing" for its maintainers, to the point that over 4,600 pull requests are currently open on the engine's GitHub page.

In recent blog posts, both Uber ( Uber's Rate Limiting System), and OpenAI ( Beyond rate limits: scaling access to Codex and Sora) discuss shifts in their approach to rate limiting: moving from counter-based, per-service limits to adaptive, policy-based systems. Both companies developed proprietary rate-limiting platforms implemented at the infrastructure layer. These systems feature soft controls that manage traffic by asserting pressure on clients rather than utilizing hard stops - either through probabilistic shedding or credit-based waterfalls - ensuring system resilience without sacrificing user momentum.

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LocalStack started as a scrappy open-source experiment, and the community made it what it is today. Over time, however, the scope, security requirements, and operational complexity of maintaining high-fidelity AWS emulation have grown significantly. To continue delivering accurate, secure, and production-grade cloud emulation - while still offering a free entry point - we need a distribution model that lets us engage directly with users, understand how LocalStack is used, and sustainably invest in the platform.

Google has overhauled Firestore Enterprise edition's query engine, adding Pipeline operations that let developers chain together multiple query stages for complex aggregations, array operations, and regex matching. The update removes Firestore's longstanding query limitations and makes indexes optional, putting the database on par with other major NoSQL platforms. Pipeline operations work through sequential stages that transform data inside the database.

The release marks a change from the previous hosted platform to a fully self-hosted approach, giving developers complete control over their content editing infrastructure with no external dependencies. Nuxt Studio introduces a set of features designed to bridge the gap between developers and content creators. The module provides a Notion-like visual editing experience with full MDC component support, allowing users to insert Vue components, edit props visually, and drag-and-drop content blocks directly within the production site.

They slow down innovation, increase maintenance costs, and make it harder to scale or adapt to changing market demands. However, businesses choose to stay in this "toxic relationship" rather than break free of legacy constraints because the "breakup" is associated with risks, such as potential system downtime, data loss, disruption of fragile business logic, security vulnerabilities, and temporary drops in productivity - risks that can be significantly reduced with a preliminary software audit.

At that point, backpressure and load shedding are the only things that retain a system that can still operate. If you have ever been in a Starbucks overwhelmed by mobile orders, you know the feeling. The in-store experience breaks down. You no longer know how many orders are ahead of you. There is no clear line, no reliable wait estimate, and often no real cancellation path unless you escalate and make noise.

Google's Conductor AI extension for context-driven development has been fitted with a new automated review feature intended to make AI-assisted engineering safer and more predictable. Announced February 12, the new Automated Review feature allows the Conductor extension to go beyond planning and execution into validation, generating post-implementation reports on code quality and compliance based on defined guidelines, said Google. Conductor serves as a Gemini CLI extension designed to bring context-driven development to the developer's terminal.

In this role you will: Build and maintain features across our Vue 3 frontend and .NET 8 backend, with a strong emphasis on the UI layer; Design, develop and deploy backend services for our clients with a focus on high availability, low latency, stability and scalability; Analyse user needs and software requirements to determine feasibility of design within time and cost constraints;